0x01 micrometer介绍
micrometer一个应用度量的门面框架，自称metrics界里的slf4j，注入各个监控系统的厂商的多维度度量代码在一个中间层，可以自定义监控后端。
在Spring Boot 2.0后，micrometer正式成为了metrics端点的实现，用来对接更多的监控系统。
0x02 micrometer使用
在pom.xml中加入
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-core</artifactId>
</dependency>
在application.yml中加入
management:
endpoints:
web:
exposure:
include: "*"
endpoint:
metrics:
enabled: true
在代码中使用
// counter的name是startMatchSuccess，tag是matchqueue=single
private Counter singleStartSuccessCnt = Metrics.counter("startMatchSuccess", "matchqueue", "single");
// 计数
singleStartSuccessCnt.increment();
0x03 prometheus配置
修改项目的pom.xml
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-core</artifactId>
</dependency>
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-registry-prometheus</artifactId>
</dependency>
修改项目的application.yml
management:
metrics:
export:
prometheus:
enabled: true
endpoints:
web:
exposure:
include: "*"
endpoint:
prometheus:
enabled: true
metrics:
enabled: true
启动项目，查看/actuator/prometheus下是否有内容。然后在官网上下好prometheus，配置好prometheus.yml。
# my global config
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
# scrape_timeout is set to the global default (10s).
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets:
# - alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'prometheus'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
- targets: ['localhost:9090']
# 新增的matchqueue job，以5s每次的频率监控端点'http://localhost:8010/actuator/prometheus'
- job_name: 'matchqueue'
metrics_path: '/actuator/prometheus'
scrape_interval: 5s
static_configs:
- targets: ['localhost:8010']
然后启动
./prometheus --config.file=prometheus.yml
在启动界面的query框内输入name{tag:key=tag:value}来查看对应的仪表信息。
0x04 grafana配置
下好安装包，启动，配置好prometheus之后然后在dashborad里面Add Query好startMatchSuccess_total{matchqueue="single"}，就能看到仪表显示。